Questionnaire Design and Cleaning Data
How to gather good data: designing clear, unbiased questionnaire questions, and cleaning raw data to fix errors, missing values and other problems before analysis.
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Good questions, clean data 📋
Good data starts with good questions. This module looks at how to design a questionnaire, from open and closed questions to avoiding leading questions, and at how to clean data by fixing errors, missing values and other problems before it is analysed.
Words for data collection 🔑
Learn these four terms before you design a questionnaire.
Open and closed 🆚
The two main question types have different strengths.
Grade 9 thinking 💡
To reach the top grades, explain why a design choice matters, for example that a leading question biases the results, and that overlapping response groups make a value impossible to place.
Match the term to its meaning 🔗
- closed question
- open question
- leading question
- biased source
- a question with fixed answer options
- a question with a free written answer
- a question that pushes you toward an answer
- a source that gives an unfair, one-sided view
Match the data problem 🧩
- missing data
- non-response
- incorrect format
- incomplete response
- a value that was not recorded
- when someone does not answer at all
- data written in the wrong form, like a date as text
- an answer that is only partly filled in
What is a leading question? ❓
What is a leading question?
- A question that pushes the respondent toward a particular answer.
- A question with a free written answer.
- The first question on a form.
Features of a good question ✅
Select the TWO features of a good question.
- It is clear and simple.
- Its answer options do not overlap.
- It leads the respondent to an answer.
- It uses a biased source.
Order the survey 🪜
An interactive activity.
Summarise the ideas 📝
A _____ question has fixed answer options, while an _____ question has a free written answer. A _____ question should be avoided because it pushes people toward an answer. Response options must not _____. Before analysis, raw data is _____ to fix errors and missing values.
Count the groups 🔢
An interactive activity.
Spot the two data problems 🖍️
An interactive activity.
Good, leading or overlapping? 🧭
An interactive activity.
Design a good question ✍️
An interactive activity.